DEVELOPMENT OF A COMPOSITE ROAD TRAFFIC SAFETY PERFORMANCE INDEX: A BASIS FOR COMPARING TURKISH METROPOLITAN CITIES

Year 2020, Volume: 38 Issue: 2, 769 - 784, 01.06.2021

Yunus Emre Yılmaz Mustafa Gürsoy

Abstract

In this study, we aimed to measure and compare the road traffic safety performance of the current thirty metropolitan cities in Turkey by applying principal components analysis (PCA) with the data from 2016. A total of ten road traffic safety performance indicators from different fields were selected to present the current road traffic safety situation in these cities. The structural and cultural characteristics of the cities were also considered by applying Ward's cluster analysis. Four indicators were used in the cluster analysis, then the cities were ranked according to their road traffic safety performance. The cities with the highest and lowest road traffic safety score were Erzurum and Muğla, respectively. The cities were divided into four classes according to the cluster analysis. The first group includes only İstanbul. The other three groups include seven, ten and twelve cities, respectively.

Keywords

Road safety, traffic safety, principal components analysis, indexes, comparison.

References

• [1] Global Status Report on Road Safety, World Health Organization, 2015.
• [2] Road Traffic Accident Statistics, TurkStat (Turkish Statistical Institute), 2016.
• [3] Stock of Vehicles by Category and NUTS 2 Regions, European Statistics, 2016.
• [4] Population by Country, World Health Organization, 2016.
• [5] Road Accidents, Organisation for Economic Co-operation and Development, 2016.
• [6] New Zealand Land Transport Safety Authority, (2000) Road Safety Strategy 2010: A Consultation Document, National Road Safety Committee, 1-102.
• [7] Koornstra M., Lynam D., Nilsson G., Noordzij P., Pettersson H., Wegman F., Wouters P., (2002) SUNflower: A comparative study of the development of road safety in Sweden, the United Kingdom, and the Netherlands, SWOV Institute for Road Safety Research, Leidschendam, The Netherlands.
• [8] Wegman F., Eksler V., Hayes S., Lynam D., Morsink P., Oppe S., (2005) SUNflower+6. A comparative study of the development of road safety in the SUNflower+6 countries: Final report, SWOV Institute for Road Safety Research, Leidschendam, The Netherlands.
• [9] Wegman F., Commandeur J., Doveh E., Eksler V., Gitelman V., Hakkert S., Lynam D., Oppe S., (2008) SUNflowerNext: Towards a composite road safety performance index, SWOV Institute for Road Safety Research, Leidschendam, The Netherlands.
• [10] Thomas P., Chambers-Smith D., Morris A., Yannis G., Evgenikos P., Duchamp G., Vis M., Jahi H., Vallet G., Dupont E., Martensen H., (2009) Building the European Road Safety Observatory, Vehicle Safety Research Centre, Loughborough, UK.
• [11] Bax C., Wesemann P., Gitelman V., Shen Y., Goldenbeld C., Hermans E., Doveh E., Hakkert S., Wegman F., Aarts L., (2012) Developing a Road Safety Index, DaCoTA, Deliverable 4.9 of the EC FP7 project DaCoTA, Loughborough, UK.
• [12] Abbas K. A., (2004) Assessment and improvement of road safety in developing countries: Egypt as a prototype case study, Advances in Transportation Studies an international Journal.
• [13] Abbas K. A., (2017) Assessment & Improvement of Children Road Safety: A Pyramid & Honeycomb Structure Approach, Journal of Transportation Technologies, 7, 240-260.
• [14] Abbas K. A., (2017) Assessment of Road Safety in Middle East and Western Asia (Mewa) Countries, United Cities and Local Governments Middle East and West Asia Section (UCLG-MEWA) Newsletter, 18, 8-13.
• [15] Hermans E., Van der B.F., Wets G., (2008) Combining Road Safety Information in A Performance Index, Accident Analysis and Prevention, 40, 4, 1337–1344.
• [16] Hermans E., Brijs T., Wets G., Vanhoof K., (2009) Benchmarking road safety: Lessons to learn from a data envelopment analysis, Accident Analysis and Prevention, 41, 1, 174-182.
• [17] Shen Y., Hermans E., Ruan D., Wets G., Brijs T., Vanhoof K., (2011) A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation, Expert Systems with Applications, 38, 12, 15262-15272.
• [18] Çoruh E., (2013) Developing a Road Safety Index for Turkey Highways, PhD Thesis, Graduate School of Natural and Applied Sciences, Department of Civil Engineering, Atatürk University, Erzurum, Turkey.
• [19] Aarts L. T., Houwing S., (2015) Benchmarking road safety performance by grouping local territories: A study in the Netherlands, Transportation Research Part A, 74, 174-185.
• [20] Alper D., Sinuany-Stern Z., Shinar D., (2015) Evaluating the efficiency of local municipalities in providing traffic safety using the Data Envelopment Analysis, Accident Analysis and Prevention, 78, 39-50.
• [21] Nardo M., Saisana M., Saltelli A., Tarantola S., Hoffmann A., Giovannini E., (2008) Handbook on Constructing Composite Indicators: Methodology and User Guide, Organisation for Economic Co-operation and Development.
• [22] Litman T., (2011) Well Measured: Developing Indicators for Sustainable and Livable Transport Planning, Victoria Transport Policy Institute.
• [23] Al Haji G., (2005) Towards a Road Safety Development Index (RSDI), Licentiate Thesis, Department of Science and Technology Campus Norrköping, Linköping University, Norrköping, Sweden.
• [24] Gitelman V., Doveh E., Hakkert S., (2010) Designing a Composite Indicator for Road Safety, Safety Science, 48, 9, 1212–1224.
• [25] Hermans E., Van den B.F., Wets G., (2007) Impact of Methodological Choices on Road Safety Ranking, Policy Research Centre for Mobility and Public Works, RA-MOW-2007-001, Diepenbeek, Belgium.
• [26] Nardo M., Saisana M., Saltelli A., Tarantola A., (2005) Tools for Composite Indicators Building, Joint Research Centre, EUR 21682EN, Italy.
• [27] Yardımcı, A., (2008) Odalar ve Borsalar İçin Temel İstatistik Yöntemler, No: 2008/79, The Union of Chambers and Commodity Exchanges of Turkey, Ankara, Turkey.
• [28] Bao Q., Ruan D., Shen Y., Hermans E., (2010) Creating a Composite Road Safety Performance Index by a Hierarchical Fuzzy TOPSIS Approach, Intelligent Systems and Knowledge Engineering, Hangzhou, China, 458-463.
• [29] Road Motor Vehicles Statistics, TurkStat (Turkish Statistical Institute), 2016.
• [30] National Education Statistics Database, TurkStat (Turkish Statistical Institute), 2016.
• [31] Health Statistics Yearbook 2016, (2017) General Directorate of Health Research, Ministry of Health, Ankara, Turkey.
• [32] Population Density Statistics, TurkStat (Turkish Statistical Institute), 2016.
• [33] Data provided for the Road Traffic Safety Development Plan report by the Ministry of Development (now Presidency of Strategy and Budget).
• [34] What Does Cronbach’s Alpha Mean?, Institute for Digital Research and Education. Available from: https://stats.idre.ucla.edu/spss/faq/what-does-cronbachs-alpha-mean/ [accessed March 12, 2018].
• [35] Dincer B., Özaslan M., Kavasoğlu T., (2003) İllerin Ve Bölgelerin Sosyo-Ekonomik Gelişmişlik Sıralaması Araştırması, 3000, State Planning Organization (Devlet Planlama Teşkilatı), Edition Number: DPT 2671.
• [36] Hermans, E., Van den B.F., Wets, G., (2009) Uncertainty Assessment of the Road Safety Index, Reliability Engineering and System Safety, 94, 7, 1220-1228.
• [37] Büyüköztürk Ş., (2003) Sosyal Bilimler İçin Veri Analizi El Kitabı, İstatistik, Araştırma Deseni, SPSS Uygulamaları ve Yorum, Pegem Akademi Yayıncılık, Ankara, 1-216.
• [38] Principal Components Analysis, Institute for Digital Research and Education. Available from: https://stats.idre.ucla.edu/spss/output/principal_components/ [accessed March 12, 2018].